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Two Decades of AI4NETS - AI/ML for Data Networks: Challenges & Research Directions.

. NOMS, page 1-6. IEEE, (2020)

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Improving web QoE monitoring for encrypted network traffic through time series modeling, , , , , and . 2nd Workshop on AI in Networks and Distributed Systems (WAIN), (2020)Mobile Web and App QoE Monitoring for ISPs-from Encrypted Traffic to Speed Index through Machine Learning, , , , , and . 2021 13th IFIP Wireless and Mobile Networking Conference (WMNC), page 40--47. IEEE, (2021)Monitoring YouTube QoE: Is your mobile network delivering the right experience to your customers?, , and . 2013 IEEE Wireless Communications and Networking Conference (WCNC), page 1609--1614. IEEE, (2013)How good is your mobile (web) surfing? Speed index inference from encrypted traffic, , , , , and . Proceedings of the SIGCOMM'20 Poster and Demo Sessions, (2020)Not all Web Pages are Born the Same. Content Tailored Learning for Web QoE Inference, , , , and . IEEE International Symposium on Measurements & Networking (M&N 2022), (July 2022)I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic, , , , and . 4th Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE), Los Cabos, Mexico, (October 2019)Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones, , and . ACM SIGMETRICS Performance Evaluation Review, 46 (3): 155-158 (January 2019)Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic, , , , , , , , , and 2 other author(s). 16th International Conference on Network and Service Management (CNSM), Izmir, Turkey, (November 2020)Content Matters: Clustering Web Pages for QoE Analysis With WebCLUST., , , , and . IEEE Access, (2021)Anycaston the Move: A Look at Mobile Anycast Performance., , , and . TMA, page 1-8. IEEE, (2018)